Xueguang Lyu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Policy Gradient

Multi Agent Reinforcement Learning

Top Venues

J. Artif. Intell. Res.

Publications

Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato
On Centralized Critics in Multi-Agent Reinforcement Learning. J. Artif. Intell. Res. 77 (2023)
Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. AAAI (2022)
Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. CoRR (2022)
Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. AAMAS (2021)
Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. CoRR (2021)
Yuchen Xiao, Xueguang Lyu, Christopher Amato
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning. CoRR (2021)
Yuchen Xiao, Xueguang Lyu, Christopher Amato
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning. MRS (2021)
Xueguang Lyu, Christopher Amato
Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning. AAMAS (2020)
Xueguang Lyu, Christopher Amato
On Improving Decentralized Hysteretic Deep Reinforcement Learning. CoRR (2018)